Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine

The Research and Implement of the Personalized Meta Search Engine Based on Ontology

Author ZhangZhiJun
Tutor LiYunQing
School Jiangxi Normal University
Course Applied Computer Technology
Keywords Meta-search Noumenon Semantic similarity Individuation
CLC TP391.3
Type Master's thesis
Year 2009
Downloads 46
Quotes 3
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With the rapid growth of the Internet information , more and more people search engines as a primary means of network access to information . However , in the vast world of Internet information through existing search engines , people looking for useful information , or there are significant difficulties . Which there are two main reasons : First, the different user education background and knowledge limitations with traditional keyword - based query service between contradictory ; personalized user information needs and existing search engine generalization \For faster , more accurate access specific network information has become the focus of the search engine . Meta-search engine is exactly in line with the development needs of rapid development in recent years . Meta-search engine by invoking multiple search engines to achieve the comprehensive treatment of the search , and search results can better solve the existing search engine defects . Papers in the meta-search engine on the introduction of the the keyword ontology-based structural model of the extension service and personalized service , and combined generic ontology -based semantic similarity search strategy to improve information retrieval recall and precision rate . Ontology -based semantic similarity search strategy papers on the basis of the body of the the Keywords extension services significantly improve , improvement of relying solely on the semantic similarity threshold to suppress keyword expansion rate , reducing the useless words. Personalized search , the paper presents a user interest model based on personalized body . The papers in the personalized ontology based on a combination of an interval arrangement of the synthetic method and the weighted position permutation both members of scheduling algorithm , it is based on the extended set of keywords and personalized ontology library of user interest information to make members of the search engines choose simple shortcut and check the full advantages of high . At the same time , user interest model based on personalized body has the ability to update user interest information based on user feedback . Finally , the paper briefly consolidation strategy of the search results , including the steps of broken links check and de- duplicate pages .

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